02781nam a22005053i 4500 EBC1953084 MiAaPQ 20221108185629.0 m o d | cr cnu|||||||| 211129s2015 xx o ||||0 eng d 9781137437471 (electronic bk.) 9781137354075 (MiAaPQ)EBC1953084 (Au-PeEL)EBL1953084 (CaPaEBR)ebr11031920 (CaONFJC)MIL727972 (OCoLC)899239577 MiAaPQ eng rda pn MiAaPQ MiAaPQ HG4661 .G46 2015 332.645 Georgakopoulos, Harry. author Quantitative Trading with R : Understanding Mathematical and Computational Tools from a Quant's Perspective / Harry Georgakopoulos. New York : Palgrave Macmillan US, 2015. ©2015. 1 online resource (281 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 1 An Overview -- 2 Tools of the Trade -- 3 Working with Data -- 4 Basic Statistics and Probability -- 5 Intermediate Statistics and Probability -- 6 Spreads, Betas and Risk -- 7 Backtesting with Quantstrat -- 8 High-Frequency Data -- 9 Options -- 10 Optimization -- 11 Speed, Testing, and Reporting -- Notes -- References -- Index. Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Stocks 174686 Mathematical models. Investment Analysis 115933 Mathematical models. Corporations 294966 Finance Computer programs. Commodity exchanges. Electronic books. Print version: Georgakopoulos, Harry Quantitative Trading with R New York : Palgrave Macmillan US,c2015 9781137354075 ProQuest (Firm) https://login.ezproxy.pucpr.edu/login?url=https://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=1953084 Acceso Remoto https://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=1953084 Acceso en el Campus PUCPR lcc 7 296943 296943 0 0 ddc 0 0 10 10 45 2021-12-07 0 332.645 EBC1953084 2021-12-07 00:00:00 2021-12-07 7 0 0 lcc 0 0 12 12 45 2022-11-08 0 HG4661 .G46 2015 50000003290425 2022-11-08 00:00:00 Ebook c. 1 2022-11-08 7